Xiaoyang Wang
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 5
- Neurology top 5%
- Long-Term Effects of COVID-19 3
- Modeling and Simulation top 5%
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- COVID-19 diagnosis using AI 5
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- melanin and skin pigmentation 3
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- Microbial Natural Products and Biosynthesis 2
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- Quinazolinone synthesis and applications 2
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- Essential Oils and Antimicrobial Activity 2
- Journals
- SHILAP Revista de lepidopterología (1 paper)ACS Nano (1 paper)Journal of Virology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoyang Wang
20 papers receiving 904 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 673
- Neurology 346
- Critical Care and Intensive Care Medicine 63
- Modeling and Simulation 42
- Radiology, Nuclear Medicine and Imaging 194
Countries citing papers authored by Xiaoyang Wang
This map shows the geographic impact of Xiaoyang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyang Wang more than expected).
Fields of papers citing papers by Xiaoyang Wang
This network shows the impact of papers produced by Xiaoyang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoyang Wang. The network helps show where Xiaoyang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 66 | |
| 14 | Coinfection of SARS-CoV-2 and Other Respiratory Pathogens | 2020 | 3 |
| 15 | 2020 | 80 | |
| 16 | Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, Chinabreakdown → | 2020 | 681 |
| 17 | 2020 | 2 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 5 | |
| 20 | 2013 | 10 |
About Xiaoyang Wang
Xiaoyang Wang is a scholar working on Infectious Diseases, Toxicology and Cell Biology, having authored 22 papers that have together received 921 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (5 papers), melanin and skin pigmentation (3 papers), Long-Term Effects of COVID-19 (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Quinazolinone synthesis and applications (2 papers) and Essential Oils and Antimicrobial Activity (2 papers). The work is most often cited by research in Infectious Diseases (673 citations), Neurology (346 citations) and Critical Care and Intensive Care Medicine (63 citations). Xiaoyang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qingfeng Sun, Qiqi Cao, Ashan Pan, Fuhua Yan, Jianyi Dai, Le Qin, Zenghui Cheng, Wenjie Yang, Jieming Qu and Chenbin Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.